Integration

Set up self-hosted Quill to put a conversational AI agent in front of your existing SQL database: run the Docker appliance, connect a database and a model, build the agent, and embed the chat widget.

Use the CDC Sink ongoing task to keep a live copy of PostgreSQL tables in RavenDB as documents, and learn how to reshape normalized rows into well-modeled documents by embedding, linking, or copying fields.

Set up a RavenDB Azure Service Bus Queue Sink that turns incoming Service Bus messages into documents, covering SAS, Entra ID, and passwordless authentication, configured either in the Studio or with the C# client API.

Set up Context7 MCP with OpenAI Codex in VS Code to give your AI direct access to RavenDB docs — faster, context-rich vibe coding with fewer interruptions.

Learn to implement the transactional outbox pattern in C# using RavenDB data subscriptions or Queue ETL, with RabbitMQ and Kafka code examples.

External

Read about Begin Analysis with OLAP ETL on the RavenDB.net news section

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Read about Feed Elasticsearch from Your RavenDB on the RavenDB.net news section

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Read about Using Azure Queue Storage ETL for Serverless Processing on the RavenDB.net news section

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Read about Using RavenDB Persistence in an Akka.NET Application on the RavenDB.net news section

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Read about Full Lifecycle Automation of RavenDB with Ansible on the RavenDB.net news section

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Read about Leverage RavenDB Observability with Datadog on the RavenDB.net news section

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Read about Grafana Cloud Configuration with OpenTelemetry on the RavenDB.net news section

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Read about Integrating RavenDB with .NET Aspire on the RavenDB.net news section

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Read about RavenDB Data Visualization with Power BI on the RavenDB.net news section

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Read about New in 7.0: RavenDB to Snowflake on the RavenDB.net news section

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Read about New in 7.0: RavenDB and Amazon SQS ETL on the RavenDB.net news section

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Read about Sending Your RavenDB 7.0 Logs to Grafana Cloud on the RavenDB.net news section

Step-by-step guide to building a SvelteKit web application backed by RavenDB, covering project setup, document store configuration, CRUD operations with form actions, and streaming query results.

Build a full-stack Next.js app backed by RavenDB using the Node.js client, server actions for mutations, and server components for data fetching.

External

Read about Getting Started with GraphQL and RavenDB on the RavenDB.net news section